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Contract Geospatial Data Engineer Jobs in Michigan

Mariana Minerals

Sr. Data Engineer

Ann Arbor, MI · On-site

$103K - $140K/yr

They are seeking a Senior Data Engineer to design and build data pipelines that ensure the ... contract it exposes to everyone downstream. • Design and evolve our fleet of pipelines that pull ...

Agile Tech Labs

Senior Data Engineer

Lansing, MI · On-site

$107K - $146K/yr

Contract / Requirement: * 3-7 years of experience in Data Engineering, Business Intelligence, Data Analytics, or a related field. * Strong experience in project management reporting and portfolio ...

Mariana Minerals

Sr. Data Engineer

Ann Arbor, MI · On-site

$140K - $200K/yr

As a Senior Data Engineer at Mariana, you'll own a data domain end-to-end-designing the pipelines, schemas, and contracts that make a whole class of plant data trustworthy and queryable. The systems ...

Select Minds LLC

Big Data Engineer

Lansing, MI · On-site

$110K - $125K/yr

Contract / Full Time Experience: 8+ yrs Duration: Long Term We are seeking an experienced Big Data Engineer to design, develop, and optimize enterprise-scale big data solutions. The ideal candidate ...

RapidIT, Inc

ArcGIS Developer

Jackson, MI · On-site

Position-ArcGIS Developer Location-Jackson, MI (ONSITE) * We''re looking for an ArcGIS Experience ... You''ll transform geospatial data into interactive, mobile-optimized 2D/3D web experiences.

Kiongroup

Senior AI Data Engineer

Grand Rapids, MI

$121K - $151K/yr

Deep understanding of data engineering fundamentals, including data modeling, data contracts, metadata, lineage, governance, data quality, and batch/streaming architectures. * Experience integrating ...

Kiongroup

Senior AI Data Engineer

Grand Rapids, MI · On-site

$121K - $151K/yr

Deep understanding of data engineering fundamentals, including data modeling, data contracts, metadata, lineage, governance, data quality, and batch/streaming architectures. * Experience integrating ...

MM International

Data Engineer with DevOps Skill

Dearborn, MI · On-site

$105K - $126K/yr

Duration: 12 month contract. Additional Information: Hybrid Position Currently 2-3 days a week, but ... Data Engineer, or similar role, with a strong focus on operationalizing data pipelines. · ...

Apex Systems

Google Cloud Platform Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Google Cloud Platform Data Engineer Location: 4 days/week onsite in SE MI Duration: Long-Term Contract Description: The Data Engineer is responsible for designing, building, and maintaining scalable ...

Wade Trim

Survey Manager - #2826

Detroit, MI · On-site

GIS and geospatial data management experience * Digital twin methodology knowledge or demonstrated ... We've been solving complex engineering challenges for a century. We customize our work approach to ...

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All JobsContract Geospatial Data Engineer JobsContract Geospatial Data Engineer Jobs in Michigan

Contract Geospatial Data Engineer information

What is a contract geospatial data engineer?

Contract Geospatial Data Engineers are professionals who specialize in managing, analyzing, and visualizing spatial data on a temporary or project-based contract. They use geographic information systems (GIS), remote sensing, and data engineering tools to process location-based data for various industries such as urban planning, environmental science, or logistics. Unlike full-time employees, contract engineers typically work for a set duration or on specific projects, offering flexibility to employers and a variety of work for the engineer. Their expertise helps organizations make data-driven decisions based on spatial analysis.

What are the key skills and qualifications needed to thrive as a contract geospatial data engineer?

To thrive as a Contract Geospatial Data Engineer, you need expertise in GIS principles, spatial analysis, data modeling, and proficiency with languages like Python or SQL, typically supported by a degree in geography, computer science, or a related field. Familiarity with technologies such as ESRI ArcGIS, QGIS, remote sensing platforms, and cloud-based geospatial systems, as well as certifications like GISP, is often required. Strong problem-solving, attention to detail, and effective communication skills help you interpret complex data and collaborate across project teams. These skills ensure accurate, efficient handling of geospatial data crucial for informed decision-making in diverse industries.

What are some common challenges faced by contract geospatial data engineers when working with diverse datasets from multiple sources?

Contract Geospatial Data Engineers often encounter challenges related to data integration and quality control, as datasets can come in various formats, projections, and levels of accuracy. Ensuring compatibility and consistency across sources requires strong attention to detail and proficiency with geospatial tools such as GIS software and scripting languages. Additionally, contractors must quickly adapt to the unique workflows and expectations of different clients or teams, making effective communication and project management skills essential. These challenges are balanced by the opportunity to work on a variety of projects and expand expertise in different geospatial domains.

What is the difference between Contract Geospatial Data Engineer vs GIS Analyst?

AspectContract Geospatial Data EngineerGIS Analyst
Required CredentialsBachelor's in GIS, Geography, Computer Science; experience with GIS software and programmingBachelor's in Geography, GIS, or related field; proficiency in GIS tools
Work EnvironmentProject-based, technical, often remote or on-siteOffice or fieldwork, data analysis, map creation
Employer & Industry UsageTech firms, government agencies, environmental companiesUrban planning, environmental agencies, consulting firms

The Contract Geospatial Data Engineer focuses on building and maintaining GIS data systems, often requiring programming skills, while a GIS Analyst primarily analyzes spatial data and creates maps. Both roles are essential in GIS projects but differ in technical depth and responsibilities.

What are the most commonly searched types of Geospatial Data Engineer jobs in Michigan?

The most popular types of Geospatial Data Engineer jobs in Michigan are:

What are popular job titles related to Contract Geospatial Data Engineer jobs in Michigan?

For Contract Geospatial Data Engineer jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Contract Geospatial Data Engineer jobs in Michigan look for?

The top searched job categories for Contract Geospatial Data Engineer jobs in Michigan are:

What cities in Michigan are hiring for Contract Geospatial Data Engineer jobs?

Cities in Michigan with the most Contract Geospatial Data Engineer job openings:

Contract Geospatial Data Engineer jobs near you

Sr. Data Engineer

Mariana Minerals

Ann Arbor, MI • On-site

$103K - $140K/yr

Full-time

Re-posted 12 days ago

Job description

Job Summary:
Mariana Minerals is a software-first, vertically integrated minerals company on a mission to supply the critical minerals powering modern energy, AI, and defense technologies. They are seeking a Senior Data Engineer to design and build data pipelines that ensure the reliability and queryability of plant data, supporting autonomous mineral refining operations. The role involves working across various data domains and collaborating with machine learning engineers to enhance production processes.
Responsibilities:
• Work across domains—for example, all plant sensor and historian data, or all lab and analytical results—including schema design, orchestration, reliability, and the contract it exposes to everyone downstream.
• Design and evolve our fleet of pipelines that pull from messy industrial sources—sensors, lab systems, historians, imagery, and more—into our databases and warehouse.
• Model time-series and analytical plant data for both human analysis and machine learning training, validation, and monitoring; own data quality, observability, and lineage in your domain.
• Build the data architecture that feeds production ML—the training and monitoring layer—in partnership with the ML engineers who own the model-specific semantics.
• Mentor earlier-career engineers and define the data contracts other teams build against.
• Work the boundary with machine learning deliberately: you own the platform and the interface it exposes; ML engineers own the features and models built on top of it. The training and monitoring layer is shared ground you design together.
Qualifications:
Required:
• 4+ years in data engineering or a closely related role.
• Strong Python and SQL, with deep experience designing database and warehouse schemas, including time-series and/or analytical data.
• Proven experience building reliable, orchestrated data pipelines and operating them in the cloud with containers and CI/CD.
• Experience with data quality, observability, and lineage, and comfort with messy real-world sources—drifting sensors, malformed exports, and the quirks of industrial systems.
• A self-starter comfortable in high-ambiguity environments, working directly with process engineers, ML engineers, and operations teams.
Preferred:
• Bonus: experience feeding data to ML systems—training datasets, feature pipelines, model monitoring—or working with industrial, sensor, or historian data.
Company:
Mariana Minerals develops mineral projects using technology to supply critical minerals for energy, AI, and defense applications. Founded in 2022, the company is headquartered in Houston, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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